CN104268979A - Method and device for detecting overlapped bank note - Google Patents
Method and device for detecting overlapped bank note Download PDFInfo
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- CN104268979A CN104268979A CN201410605482.3A CN201410605482A CN104268979A CN 104268979 A CN104268979 A CN 104268979A CN 201410605482 A CN201410605482 A CN 201410605482A CN 104268979 A CN104268979 A CN 104268979A
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- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000001514 detection method Methods 0.000 claims abstract description 165
- 230000005484 gravity Effects 0.000 claims description 101
- 230000004807 localization Effects 0.000 claims description 59
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 9
- 230000008520 organization Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/16—Testing the dimensions
- G07D7/164—Thickness
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H7/00—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles
- B65H7/02—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H7/00—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles
- B65H7/02—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors
- B65H7/06—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors responsive to presence of faulty articles or incorrect separation or feed
- B65H7/12—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors responsive to presence of faulty articles or incorrect separation or feed responsive to double feed or separation
- B65H7/125—Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors responsive to presence of faulty articles or incorrect separation or feed responsive to double feed or separation sensing the double feed or separation without contacting the articles
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/181—Testing mechanical properties or condition, e.g. wear or tear
- G07D7/183—Detecting folds or doubles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H2511/00—Dimensions; Position; Numbers; Identification; Occurrences
- B65H2511/50—Occurence
- B65H2511/52—Defective operating conditions
- B65H2511/524—Multiple articles, e.g. double feed
Abstract
The invention relates to a method for detecting overlapped bank notes. The method comprises the following steps: step 10, acquiring original image data of bank notes; step 20, performing safety line positioning detection on original image data of the bank notes, so as to obtain safety line detection data; step 40, judging whether the safety line detection data meet a preset safety line reference condition or not, if the safety line detection data meet the preset safety line reference condition, performing the step 60, otherwise, performing the step 70; step 60, obtaining the judgment result that the bank notes are not overlapped, and ending the process; and step 70, obtaining the judgment result that the bank notes are overlapped, and ending the process. As the thickness of the part with the safety line of a bank note of most countries is far greater than those of other areas, different treatment on the thicknesses of safety line areas and other areas of bank notes, and overlapping judgment can be achieved through safety line detection and positioning of the bank notes, the problem that misjudgment on overlapped bank notes caused by the extremely thick safety lines is avoided, and not only are the overlapped bank notes accurately detected, but also the receiving rate of the bank notes is greatly increased.
Description
Technical field
The present invention relates to banknote recognition technology, be specifically related to detection method and the device of the heavy paper money of banknote.
Background technology
Will constantly receive or export banknote in cash transaction device, particularly ATM (Automatic Teller Machine) (ATM), it have become one of people's important means obtaining cash, needs to carry out banknote identification and detection.But banknote is owing to being subject to the impact of external environment, and the difference of self attributes, usually there will be the phenomenon that banknote overlaps, i.e. heavy paper money, if can accurately not detect the whether heavy paper money of banknote, will produce account dispute, cause serious consequence.
The method of the whether heavy paper money of detection banknote the most frequently used at present utilizes the thickness of banknote to detect the whether heavy paper money of banknote, as the thickness utilizing ultrasonic sensor to detect banknote, or utilizes thickness transducer to detect the thickness of banknote.But, due to the diversity of banknote ticket information, cause the thickness information of banknote own very abundant, if at this moment go detection may produce error or the heavy paper money of wrong report with thickness transducer.The thickness at the banknote security line place of such as majority state is just far away higher than the average thickness in these other regions of banknote, at this moment go to detect the whether heavy paper money of banknote with thickness transducer and then there will be larger problem: when non-security line region is through thickness transducer, correctly can detect and whether weigh paper money, can not report by mistake, when safety line region is through thickness transducer, then thickness super thick can be detected, the heavy paper money of wrong report, banknote is caused to refuse in a large number to know, finally cause the instability of banknote acceptance rate, cause larger obstruction to Consumer's Experience.In this case, although can be solved by the method or expansion dynamic range increasing thickness reference value, these methods can bring new risk again, then may cannot solve, will produce greater risk for real heavy paper money.
Summary of the invention
The average thickness being far longer than the non-security line region of banknote in order to the thickness solving safety line place in prior art causes thickness transducer to detect the technical matters easily reported by mistake when whether banknote weighs paper money, the invention provides the detection method of the heavy paper money of banknote, also carrying out Thickness sensitivity respectively by distinguishing safety line region and non-security line region, preventing financial self-service equipment from reporting heavy paper money by mistake.
The present invention also provides the pick-up unit of the heavy paper money of corresponding banknote.
The invention provides the detection method of the heavy paper money of a kind of banknote, comprising: step 10, gather banknote raw image data; Step 20, carries out safety line detection and localization to banknote raw image data, obtains safety line and detects data; Step 40, judging that safety line detects data and whether meets the safety line base condition pre-set, is then enter step 60, no, then enter step 70; Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
Concrete, in step 20, safety line detects data and comprises: the physical size (Xl on safety line position left upper apex range scanner calibration limit, Yl), physical size (the Xr on bottom right vertex range scanner calibration limit, safety line position, the absolute position on the safety line range calibration limit Yr), and thus determined.
Preferably, this step 40 comprises further: step 41, judges whether the width of safety line meets safety line base condition, if so, performs step 42, no, then perform step 44; Step 42, judges whether safety line place thickness meets safety line base condition, if so, performs step 43, no, then perform step 44; Step 43, the not heavy paper money in safety line region, enters step 50; Step 44, safety line Regional Gravity paper money, enters step 70.
Concrete, in step 41, judge that the detailed process whether safety line width meets safety line base condition is: adopt (Xl, Yl) position on individual banknotes safety line left upper apex range calibration limit is represented, (Xr, Yr) position on individual banknotes safety line bottom right vertex range calibration limit is represented, (Xx, Yy) position on the heavy paper money banknote security line left upper apex range calibration limit detected is represented, (XX, YY) represent the position on the heavy paper money banknote security line bottom right vertex range calibration limit detected, T represents default non-negative threshold parameter; When safety line place width meets | (XX, YY)-(Xx, Yy) | >| (Xr, Yr)-(Xl, Yl) | during+T, safety line width does not meet safety line base condition, width is abnormal, otherwise meets base condition, and width is normal.
Concrete, in step 42, judge that the detailed process whether safety line area thickness meets safety line base condition is: adopt a to represent the safety line area thickness value that current thickness sensor obtains, b represents the reference data value of safety line area thickness, and t represents default non-negative threshold parameter, when safety line place one-tenth-value thickness 1/10 meets a>b*t, safety line place thickness does not meet safety line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
The present invention also provides the detection method of the heavy paper money of a kind of banknote, comprising: step 10, gathers banknote raw image data; Step 30, carries out non-security line detection and localization to banknote raw image data, obtains non-security line region detection data; Step 50, judges whether non-security line region detection data meet the non-security line base condition pre-set, and are then enter step 60, no, then enter step 70; Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
Preferably, step 50 comprises further: step 51, judges whether non-security line area thickness meets non-security line base condition, if so, performs step 52, otherwise performs step 54; Step 52, judges whether non-security line area thickness and banknote average thickness difference meet non-security line base condition, if so, performs step 53, otherwise performs step 54; Step 53, the not heavy paper money in non-security line region, enters step 60; Step 54, non-security line Regional Gravity paper money, enters step 70.
Concrete, in step 51, judge that the process whether thickness in non-security line region meets non-security line base condition is: adopt c to represent the non-security line area thickness value that current thickness sensor obtains, d represents the reference data value of non-security line area thickness, and s represents default non-negative threshold parameter, when the one-tenth-value thickness 1/10 in non-security line region meets c>d*s, non-security line area thickness does not meet non-security line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
Concrete, in step 52, judge that the process whether non-security line area thickness and banknote average thickness difference meet non-security line base condition is: adopt e to represent the non-security line area thickness value that current thickness sensor obtains, v represents banknote statistical average thickness reference value, f represents default non-negative threshold parameter, when non-security line area thickness and banknote average thickness difference meet e – v>f, non-security line area thickness and banknote average thickness difference do not meet non-security line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.The present invention also provides the detection method of the heavy paper money of a kind of banknote, comprising: step 10, gathers banknote raw image data; Step 20, carries out safety line detection and localization to banknote raw image data, obtains safety line and detects data; Step 30, carries out non-security line detection and localization to banknote raw image data, obtains non-security line region detection data; Step 40, judging that safety line detects data and whether meets the safety line base condition pre-set, is then enter step 50, no, then enter step 70; Step 50, judges whether non-security line region detection data meet the non-security line base condition pre-set, and are then enter step 60, no, then enter step 70; Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
The invention provides the pick-up unit of the heavy paper money of a kind of banknote, comprising: a data acquisition module, for gathering banknote raw image data to be detected; One safety line detection and localization module, is connected with this data acquisition module, for carrying out safety line detection and localization to the banknote raw image data gathered, obtaining safety line and detecting data; One non-security line detection and localization module, is connected with this data acquisition module, for carrying out non-security line detection and localization to the banknote raw image data gathered, obtaining non-security line and detecting data; One safety line Regional Gravity paper money detection module, be connected with this safety line detection and localization module, detect data judging safety line region according to safety line and whether meet safety line base condition, when safety line detection data do not meet safety line base condition, judge safety line Regional Gravity paper money, otherwise judge the not heavy paper money in safety line region; One non-security line Regional Gravity paper money detection module, be connected with this non-security line detection and localization module, detect data judging non-security line region according to non-security line and whether meet non-security line base condition, when non-security line data do not meet non-security line base condition, judge non-security line Regional Gravity paper money, otherwise judge the not heavy paper money in non-security line region; And the heavy paper money detection module of a banknote, be connected with the non-security line Regional Gravity paper money detection module of this safety line Regional Gravity paper money detection module and this, in conjunction with the result that safety line region and non-security line region Local Gravity paper money judge, according to predetermined decision criteria, detect the whether heavy paper money of banknote.
Preferably, this predetermined decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote; If the not heavy paper money in non-security line region, then depend on this safety line Regional Gravity paper money result: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote; If the not heavy paper money in safety line region, then judge the not heavy paper money of banknote.
The present invention reoffers the pick-up unit of the heavy paper money of a kind of banknote, comprising: a data acquisition module, for gathering banknote raw image data to be detected; One safety line detection and localization module, is connected with this data acquisition module, for carrying out safety line detection and localization to the banknote raw image data gathered, obtaining safety line and detecting data; One safety line Regional Gravity paper money detection module, be connected with this safety line detection and localization module, detect data judging safety line region according to safety line and whether meet safety line base condition, when safety line detection data do not meet safety line base condition, judge safety line Regional Gravity paper money, otherwise judge the not heavy paper money in safety line region; And the heavy paper money detection module of a banknote, be connected with this safety line Regional Gravity paper money detection module, in conjunction with the result that safety line region Local Gravity paper money judges, according to decision criteria, detect the whether heavy paper money of banknote, this decision criteria is: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote, otherwise judges the not heavy paper money of banknote.
The present invention also provides the pick-up unit of the heavy paper money of a kind of banknote, comprising: a data acquisition module, for gathering banknote raw image data to be detected; One non-security line detection and localization module, is connected with this data acquisition module, for carrying out non-security line detection and localization to the banknote raw image data gathered, obtaining non-security line and detecting data; One non-security line Regional Gravity paper money detection module, be connected with this non-security line detection and localization module, detect data judging non-security line region according to non-security line and whether meet non-security line base condition, when non-security line data do not meet non-security line base condition, judge non-security line Regional Gravity paper money, otherwise judge the not heavy paper money in non-security line region; And the heavy paper money detection module of a banknote, be connected with this non-security line Regional Gravity paper money detection module, in conjunction with the result that non-security line region Local Gravity paper money judges, according to predetermined decision criteria, detect the whether heavy paper money of banknote, this decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote, otherwise judges the not heavy paper money of banknote.
The invention provides the detection method of the heavy paper money of three kinds of banknotes, first by gathering the raw image data of banknote to be detected, again safety line detection and localization and/or non-security line detection and localization are carried out to raw image data, according to the safety line region obtained further or non-security line region Local Gravity paper money result of determination, directly can judge the whether heavy paper money of banknote, or according to obtaining safety line region and non-security line region Local Gravity paper money result of determination further, finally in conjunction with the result that two parts Local Gravity paper money judges, according to decision criteria, detect the whether heavy paper money of banknote.One-tenth-value thickness 1/10 due to the banknote security line place of majority state is far longer than the one-tenth-value thickness 1/10 in this other region of banknote, the safety line region of banknote and treating with a certain discrimination and heavy paper money judgement of non-security line area thickness is realized by the safety line detection and location of banknote, thus avoid the blocked up heavy paper money erroneous judgement problem caused of safety line, heavy paper money can not only be detected accurately, the acceptance rate of banknote can also be improved greatly.
Accompanying drawing explanation
Fig. 1 is the banknote heavy paper money detection method process flow diagram that first embodiment of the invention provides;
Fig. 2 is the safety line detection and localization schematic diagram data of individual banknotes in the heavy paper money detection method of banknote in the embodiment of the present invention;
Fig. 3 is that in the embodiment of the present invention, banknote weighs safety line Regional Gravity paper money overhaul flow chart in paper money detection method;
Fig. 4 is that in the embodiment of the present invention, banknote weighs the abnormal schematic diagram of safety line Regional Gravity paper money detection width in paper money detection method.
Fig. 5 is that in the embodiment of the present invention, banknote weighs non-security line Regional Gravity paper money overhaul flow chart in paper money detection method;
Fig. 6 is the first banknote heavy paper money pick-up unit logical organization schematic diagram in the embodiment of the present invention;
Fig. 7 is the banknote heavy paper money detection method process flow diagram that second embodiment of the invention provides;
Fig. 8 is the banknote heavy paper money detection method process flow diagram that third embodiment of the invention provides;
Fig. 9 is the second banknote heavy paper money pick-up unit logical organization schematic diagram in the embodiment of the present invention; And
Figure 10 is the third banknote heavy paper money pick-up unit logical organization schematic diagram in the embodiment of the present invention.
Embodiment
For setting forth the heavy paper money detection method of banknote provided by the present invention and pick-up unit further, be described in detail below in conjunction with diagram.
First the illustratively concept of safety line, safety line is the common feature of any one banknote one of having, a wires is all inlayed above banknote, width same with banknote, we are referred to as safety line, are divided into two kinds, one is solid line, one is dotted line, calls off again window safety line, is a kind of important anti-counterfeiting characteristic.It is different that its thickness compares other regions, is generally far longer than other area thickness of banknote.
As shown in Figure 1, the detection method of the heavy paper money of the banknote that first embodiment of the invention provides, comprising: step 10, gathers banknote raw image data; Step 20, carries out safety line detection and localization to banknote raw image data, obtains safety line and detects data; Step 30, carries out non-security line detection and localization to banknote raw image data, obtains non-security line region detection data; Step 40, judging that safety line detects data and whether meets the safety line base condition pre-set, is then enter step 50, no, then enter step 70; Step 50, judges whether non-security line region detection data meet the non-security line base condition pre-set, and are then enter step 60, no, then enter step 70; Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
The method detects the method for the heavy paper money of banknote, specifically introduces each step below:
Step 10, gathers banknote raw image data; When banknote is when ATM (Automatic Teller Machine) (ATM), banknote to be detected can be scanned, obtain banknote raw image data to be detected.
Step 20, safety line detection and localization; Safety line detection and localization is carried out to the view data gathered, obtains safety line and detect data.In most cases, the image of banknote scanning tilts, therefore, safety line detects data as shown in Figure 2, comprise the physical size (Xl, Yl) on left upper apex range scanner calibration limit, safety line position, the physical size (Xr on safety line position bottom right vertex range scanner calibration limit, Yr), the absolute position on safety line range calibration limit is determined with this.Step 40 is performed when getting after safety line detects data.
Step 30, non-security line detection and localization; Non-security line detection and localization is carried out to the view data gathered, obtains non-security line and detect data, then perform step 50.In the present embodiment, non-security line detects the one-tenth-value thickness 1/10 that data comprise non-security line region.
Step 40, safety line Regional Gravity paper money detects; Safety line Regional Gravity paper money detects as shown in Figure 3, judges the whether heavy paper money in safety line region, first performs step 41, judge whether the width of safety line meets safety line base condition, if so, perform step 42, otherwise perform step 44; Step 42, judges whether safety line place thickness meets safety line base condition, if so, performs step 43, judges the not heavy paper money in safety line region, otherwise performs step 44, judge safety line Regional Gravity paper money.
Judge in step 41 that the detailed process whether safety line width meets safety line base condition can be: as shown in Figure 4, (Xl, Yl) position on individual banknotes safety line left upper apex range calibration limit is represented, (Xr, Yr) position on individual banknotes safety line bottom right vertex range calibration limit is represented, (Xx, Yy) position on the heavy paper money banknote security line left upper apex range calibration limit detected is represented, (XX, YY) represent the position on the heavy paper money banknote security line bottom right vertex range calibration limit detected, T represents default non-negative threshold parameter; When safety line place width meets | (XX, YY)-(Xx, Yy) | >| (Xr, Yr)-(Xl, Yl) | during+T, safety line place width does not meet safety line base condition, width is abnormal, otherwise meets base condition, and width is normal.
Judge in step 42 that the process whether safety line area thickness meets safety line base condition can be: adopt a to represent the safety line area thickness value that current thickness sensor obtains, b represents the reference data value of safety line area thickness, t represents default non-negative threshold parameter, when safety line place one-tenth-value thickness 1/10 meets a>b*t, safety line place thickness does not meet safety line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
It should be noted that, the order of step 41 and step 42 is in no particular order, does not limit herein.
Step 50, non-security line Regional Gravity paper money detects; As shown in Figure 5, non-security line Regional Gravity paper money detects and first performs step 51 non-security line Regional Gravity paper money detection method, judges whether non-security line area thickness meets non-security line base condition, if so, performs step 52, otherwise performs step 54; Step 52, judges whether non-security line area thickness and banknote average thickness difference meet non-security line base condition, if so, performs step 53, judges the not heavy paper money in non-security line region, otherwise performs step 54, judge non-security line Regional Gravity paper money.
In step 51, judge that the process whether thickness in non-security line region meets non-security line base condition can be: adopt c to represent the non-security line area thickness value that current thickness sensor obtains, d represents the reference data value of non-security line area thickness, s represents default non-negative threshold parameter, when non-security line place one-tenth-value thickness 1/10 meets c>d*s, non-security line area thickness does not meet non-security line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
In step 52, judge that the process whether non-security line area thickness and banknote average thickness difference meet non-security line base condition can be: e represents the non-security line area thickness value that current thickness sensor obtains, v represents banknote statistical average thickness reference value, f represents default non-negative threshold parameter, when non-security line area thickness and banknote average thickness difference meet e – v>f, non-security line area thickness and banknote average thickness difference do not meet non-security line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
It should be noted that, the order of step 51 and step 52 is in no particular order, does not limit herein.And in the present invention, the heavy paper money that both can only adopt step 51 to process non-security line region detects, and the heavy paper money that also can only adopt step 52 to process non-security line region detects, and the mode that in the present embodiment, step 51 and step 52 combine can also be adopted to process.
What deserves to be explained is, the step 10 that this method comprises performs to step 70 non-sequential, but as shown in fig. 1, performs by logical order, such as step 20,40 and step 30,50 order be in no particular order, do not limit herein.
Step 60, integrating step 40 and step 50, according to the Local Gravity paper money result of determination in safety line region and non-security line region, according to decision criteria, judge the heavy paper money of banknote, flow process terminates.
Step 70, integrating step 40 and step 50, according to the Local Gravity paper money result of determination in safety line region and non-security line region, according to decision criteria, judge the heavy paper money of banknote, flow process terminates.
Wherein decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote, if the not heavy paper money in non-security line region, then depend on safety line Regional Gravity paper money result: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote, if the not heavy paper money in safety line region, then judge the not heavy paper money of banknote.Otherwise if first judge safety line Regional Gravity paper money, then judge the heavy paper money of banknote, then the not heavy paper money in safety line region, then depend on non-security line Regional Gravity paper money result.In a word, safety line region and/or non-security line region Local Gravity paper money, can judge the heavy paper money of banknote, safety line region and non-security line region all do not have Local Gravity paper money, just can be judged to be the heavy paper money of banknote.
In the present embodiment, the safety line region of banknote and treating with a certain discrimination and heavy paper money judgement of non-security line area thickness is realized by the safety line detection and location of banknote, thus avoid the blocked up heavy paper money erroneous judgement problem caused of safety line, heavy paper money can not only be detected accurately, the acceptance rate of banknote can also be improved greatly.
Describe the first embodiment of the heavy paper money detection method of the banknote that the present invention is based on multiple spot thickness transducer above in detail, below the second embodiment of the heavy paper money detection method of the banknote that the present invention is based on single-point thickness transducer and the 3rd embodiment be briefly described:
As shown in Figure 7, the detection method of the heavy paper money of the banknote that this second embodiment provides comprises: step 10, gathers banknote raw image data; Step 20, carries out safety line detection and localization to banknote raw image data, obtains safety line and detects data; Step 40, judging that safety line detects data and whether meets the safety line base condition pre-set, is then enter step 60, no, then enter step 70; Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.The step identical with sequence number in the first embodiment involved in this embodiment, its particular content is also substantially identical, that is, this the second embodiment is actually the simplification of this first embodiment, by judging that the heavy paper money directly realizing banknote judges to the heavy paper money of banknote security line, thus avoid the blocked up heavy paper money erroneous judgement problem caused of safety line, heavy paper money can not only be detected accurately, the acceptance rate of banknote can also be improved greatly.
Same reason, first embodiment can also do the simplification of another mode, by judging to the heavy paper money in banknote non-security line region the judgement directly realizing the heavy paper money of banknote, obtain the third embodiment of the present invention, as shown in Figure 8, the detection method of the heavy paper money of this banknote comprises: step 10, gathers banknote raw image data; Step 30, carries out non-security line detection and localization to banknote raw image data, obtains non-security line region detection data; Step 50, judges whether non-security line region detection data meet the non-security line base condition pre-set, and are then enter step 60, no, then enter step 70; Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
Above the detection method of the heavy paper money of banknote provided by the invention is described in detail, introduce the pick-up unit embodiment of the heavy paper money of banknote provided by the invention below, as shown in Figure 6, the pick-up unit of the heavy paper money of this banknote comprises: a data acquisition module 201, for gathering banknote raw image data to be detected; One safety line detection and localization module 202, is connected with this data acquisition module, for carrying out safety line detection and localization to the banknote raw image data gathered, obtaining safety line and detecting data; One non-security line detection and localization module 203, is connected with this data acquisition module, for carrying out non-security line detection and localization to the banknote raw image data gathered, obtaining non-security line and detecting data; One safety line Regional Gravity paper money detection module 204, be connected with this safety line detection and localization module, detect data judging safety line region according to safety line and whether meet safety line base condition, when safety line detection data do not meet safety line base condition, judge safety line Regional Gravity paper money, otherwise judge the not heavy paper money in safety line region; One non-security line Regional Gravity paper money detection module 205, be connected with this non-security line detection and localization module, detect data judging non-security line region according to non-security line and whether meet non-security line base condition, when non-security line data do not meet non-security line base condition, judge non-security line Regional Gravity paper money, otherwise judge the not heavy paper money in non-security line region; And the heavy paper money detection module 206 of a banknote, be connected with the non-security line Regional Gravity paper money detection module of this safety line Regional Gravity paper money detection module and this, in conjunction with the result that safety line region and non-security line region Local Gravity paper money judge, according to predetermined decision criteria, detect the whether heavy paper money of banknote.
When banknote is through the signal scanning region of ATM, data acquisition module 201 collects banknote raw image data to be detected, after obtaining banknote raw image data according to acquisition module 201, safety line detection and localization module 202 pairs of raw data carry out safety line detection and localization, obtain safety line and detect data, non-security line detection and localization module 203 pairs of raw data carry out non-security line detection and localization, obtain non-security line and detect data, then the detection of weight paper money is carried out in safety line Regional Gravity paper money detection module 204 pairs of safety line regions.The detailed process that heavy paper money detection is carried out in safety line Regional Gravity paper money detection module 204 pairs of safety line regions can be: adopt (Xl, Yl) position on individual banknotes safety line left upper apex range calibration limit is represented, (Xr, Yr) position on individual banknotes safety line bottom right vertex range calibration limit is represented, (Xx, Yy) position on the heavy paper money banknote security line left upper apex range calibration limit detected is represented, (XX, YY) position on the heavy paper money banknote security line bottom right vertex range calibration limit detected is represented, , T represents predetermined width non-negative threshold parameter, a represents the safety line area thickness value that current thickness sensor obtains, b represents the reference data value of safety line area thickness, t represents preset thickness non-negative threshold parameter, when safety line place width meets: | (XX, YY)-(Xx, Yy) | >| (Xr, Yr)-(Xl, Yl) | during+T, safety line width does not meet safety line base condition, safety line Regional Gravity paper money, if safety line width meets safety line base condition, then perform next step, when safety line place one-tenth-value thickness 1/10 meets: during a>b*t, safety line place thickness does not meet safety line base condition, safety line Regional Gravity paper money, otherwise the not heavy paper money in safety line region.
Non-security line Regional Gravity paper money detection module 205 carries out weight paper money to non-security line region and detects.
Non-security line Regional Gravity paper money detection module 205 to the detailed process that heavy paper money detection is carried out in non-security line region can be: adopt c to represent the non-security line area thickness value that current thickness sensor obtains, d represents the reference data value of non-security line area thickness, s represents default non-negative threshold parameter 1, v represents banknote statistical average thickness reference value, f represents default non-negative threshold parameter 2, when non-security line place one-tenth-value thickness 1/10 meets: during c>d*s, non-security line area thickness does not meet non-security line base condition, non-security line Regional Gravity paper money, otherwise, perform next step, when non-security line area thickness and banknote average thickness difference c – v>f, non-security line area thickness and banknote average thickness difference do not meet non-security line base condition, non-security line Regional Gravity paper money, the not heavy paper money in no non-security line region.
Last banknote heavy paper money detection module 206 is according to the Local Gravity paper money result of determination of safety line Regional Gravity paper money detection module 204 and non-security line Regional Gravity paper money detection module 205, according to decision criteria, judge the whether heavy paper money of banknote, in the present embodiment, this decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote; If the not heavy paper money in non-security line region, then depend on safety line Regional Gravity paper money result: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote; If the not heavy paper money in safety line region, then judge the not heavy paper money of banknote.Or, first according to safety line Regional Gravity paper money result, if safety line Regional Gravity paper money, then judge the heavy paper money of banknote, if the not heavy paper money in safety line region, then depend on non-security line Regional Gravity paper money result, if not safety line Regional Gravity paper money, then judge the heavy paper money of banknote, if not the not heavy paper money in safety line region, then judge the not heavy paper money of banknote.
It is more than the embodiment of the heavy paper money pick-up unit of banknote according to the design of multiple spot thickness detecting method, optionally, if single-point thickness detecting method, corresponding to the second embodiment of the heavy paper money detection method of banknote, as shown in Figure 9, the heavy paper money device of the banknote that the present embodiment provides comprises: a data acquisition module 201, for gathering banknote raw image data to be detected; One safety line detection and localization module 202, is connected with this data acquisition module, for carrying out safety line detection and localization to the banknote raw image data gathered, obtaining safety line and detecting data; One safety line Regional Gravity paper money detection module 204, be connected with this safety line detection and localization module, detect data judging safety line region according to safety line and whether meet safety line base condition, when safety line detection data do not meet safety line base condition, judge safety line Regional Gravity paper money, otherwise judge the not heavy paper money in safety line region; And the heavy paper money detection module 207 of a banknote, be connected with this safety line Regional Gravity paper money detection module, in conjunction with the result that safety line region Local Gravity paper money judges, according to decision criteria, detect the whether heavy paper money of banknote, this decision criteria is: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote, otherwise judges the not heavy paper money of banknote.
Also optional, the 3rd embodiment of the heavy paper money detection method of the banknote corresponding to single-point Thickness sensitivity, as shown in Figure 10, the pick-up unit of the heavy paper money of the banknote that the present embodiment provides, comprising: a data acquisition module 201, for gathering banknote raw image data to be detected; One non-security line detection and localization module 203, is connected with this data acquisition module, for carrying out non-security line detection and localization to the banknote raw image data gathered, obtaining non-security line and detecting data; One non-security line Regional Gravity paper money detection module 205, be connected with this non-security line detection and localization module, detect data judging non-security line region according to non-security line and whether meet non-security line base condition, when non-security line data do not meet non-security line base condition, judge non-security line Regional Gravity paper money, otherwise judge the not heavy paper money in non-security line region; And the heavy paper money detection module 208 of a banknote, be connected with this non-security line Regional Gravity paper money detection module, in conjunction with the result that non-security line region Local Gravity paper money judges, according to predetermined decision criteria, detect the whether heavy paper money of banknote, this decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote, otherwise judges the not heavy paper money of banknote.
One of ordinary skill in the art will appreciate that all or part of step realized in above-described embodiment method is that the hardware that can carry out instruction relevant by program completes, program wherein can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
Below be only the preferred embodiment of the present invention, it should be pointed out that above-mentioned preferred implementation should not be considered as limitation of the present invention, protection scope of the present invention should be as the criterion with claim limited range.For those skilled in the art, without departing from the spirit and scope of the present invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (14)
1. a detection method for the heavy paper money of banknote, comprising:
Step 10, gathers banknote raw image data;
Step 20, carries out safety line detection and localization to banknote raw image data, obtains safety line and detects data;
Step 40, judging that safety line detects data and whether meets the safety line base condition pre-set, is then enter step 60, no, then enter step 70;
Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And
Step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
2. the detection method of the heavy paper money of banknote as claimed in claim 1, it is characterized in that, in step 20, safety line detects data and comprises: the physical size (Xl on safety line position left upper apex range scanner calibration limit, Yl), the physical size (Xr, Yr) on bottom right vertex range scanner calibration limit, safety line position, and the absolute position on the safety line range calibration limit determined thus.
3. the detection method of the heavy paper money of banknote as claimed in claim 2, it is characterized in that, this step 40 comprises further:
Step 41, judges whether the width of safety line meets safety line base condition, if so, performs step 42, no, then perform step 44;
Step 42, judges whether safety line place thickness meets safety line base condition, if so, performs step 43, no, then perform step 44;
Step 43, the not heavy paper money in safety line region, enters step 50; And
Step 44, safety line Regional Gravity paper money, enters step 70.
4. the detection method of the heavy paper money of banknote as claimed in claim 3, is characterized in that, in step 41, judges that the detailed process whether safety line width meets safety line base condition is:
Adopt (Xl, Yl) position on individual banknotes safety line left upper apex range calibration limit is represented, (Xr, Yr) position on individual banknotes safety line bottom right vertex range calibration limit is represented, (Xx, Yy) represents the position on the heavy paper money banknote security line left upper apex range calibration limit detected, (XX, YY) represent the position on the heavy paper money banknote security line bottom right vertex range calibration limit detected, T represents default non-negative threshold parameter;
When safety line place width meets | (XX, YY)-(Xx, Yy) | >| (Xr, Yr)-(Xl, Yl) | during+T, safety line width does not meet safety line base condition, width is abnormal, otherwise meets base condition, and width is normal.
5. the detection method of the heavy paper money of banknote as claimed in claim 3, is characterized in that, in step 42, judges that the detailed process whether safety line area thickness meets safety line base condition is:
A is adopted to represent the safety line area thickness value that current thickness sensor obtains, b represents the reference data value of safety line area thickness, t represents default non-negative threshold parameter, when safety line place one-tenth-value thickness 1/10 meets a>b*t, safety line place thickness does not meet safety line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
6. a detection method for the heavy paper money of banknote, comprising:
Step 10, gathers banknote raw image data;
Step 30, carries out non-security line detection and localization to banknote raw image data, obtains non-security line region detection data;
Step 50, judges whether non-security line region detection data meet the non-security line base condition pre-set, and are then enter step 60, no, then enter step 70;
Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And
Step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
7. the detection method of the heavy paper money of banknote as claimed in claim 6, it is characterized in that, step 50 comprises further:
Step 51, judges whether non-security line area thickness meets non-security line base condition, if so, performs step 52, otherwise performs step 54;
Step 52, judges whether non-security line area thickness and banknote average thickness difference meet non-security line base condition, if so, performs step 53, otherwise performs step 54;
Step 53, the not heavy paper money in non-security line region, enters step 60; And
Step 54, non-security line Regional Gravity paper money, enters step 70.
8. the detection method of the heavy paper money of banknote as claimed in claim 7, is characterized in that, in step 51, judges that the process whether thickness in non-security line region meets non-security line base condition is:
C is adopted to represent the non-security line area thickness value that current thickness sensor obtains, d represents the reference data value of non-security line area thickness, s represents default non-negative threshold parameter, when the one-tenth-value thickness 1/10 in non-security line region meets c>d*s, non-security line area thickness does not meet non-security line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
9. the detection method of the heavy paper money of banknote as claimed in claim 7, is characterized in that, in step 52, judges that the process whether non-security line area thickness and banknote average thickness difference meet non-security line base condition is:
E is adopted to represent the non-security line area thickness value that current thickness sensor obtains, v represents banknote statistical average thickness reference value, f represents default non-negative threshold parameter, when non-security line area thickness and banknote average thickness difference meet e – v>f, non-security line area thickness and banknote average thickness difference do not meet non-security line base condition, thickness abnormity, otherwise meet base condition, thickness is normal.
10. a detection method for the heavy paper money of banknote, comprising:
Step 10, gathers banknote raw image data;
Step 20, carries out safety line detection and localization to banknote raw image data, obtains safety line and detects data;
Step 30, carries out non-security line detection and localization to banknote raw image data, obtains non-security line region detection data;
Step 40, judging that safety line detects data and whether meets the safety line base condition pre-set, is then enter step 50, no, then enter step 70;
Step 50, judges whether non-security line region detection data meet the non-security line base condition pre-set, and are then enter step 60, no, then enter step 70;
Step 60, obtain the judged result of the not heavy paper money of banknote, flow process terminates; And
Step 70, obtain the judged result of the heavy paper money of banknote, flow process terminates.
The pick-up unit of 11. 1 kinds of heavy paper money of banknote, comprising:
One data acquisition module, for gathering banknote raw image data to be detected;
One safety line detection and localization module, is connected with this data acquisition module, for carrying out safety line detection and localization to the banknote raw image data gathered, obtaining safety line and detecting data;
One non-security line detection and localization module, is connected with this data acquisition module, for carrying out non-security line detection and localization to the banknote raw image data gathered, obtaining non-security line and detecting data;
One safety line Regional Gravity paper money detection module, be connected with this safety line detection and localization module, detect data judging safety line region according to safety line and whether meet safety line base condition, when safety line detection data do not meet safety line base condition, judge safety line Regional Gravity paper money, otherwise judge the not heavy paper money in safety line region;
One non-security line Regional Gravity paper money detection module, be connected with this non-security line detection and localization module, detect data judging non-security line region according to non-security line and whether meet non-security line base condition, when non-security line data do not meet non-security line base condition, judge non-security line Regional Gravity paper money, otherwise judge the not heavy paper money in non-security line region; And
The heavy paper money detection module of one banknote, be connected with the non-security line Regional Gravity paper money detection module of this safety line Regional Gravity paper money detection module and this, in conjunction with the result that safety line region and non-security line region Local Gravity paper money judge, according to predetermined decision criteria, detect the whether heavy paper money of banknote.
The pick-up unit of the heavy paper money of 12. banknote as claimed in claim 11, it is characterized in that, this predetermined decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote; If the not heavy paper money in non-security line region, then depend on this safety line Regional Gravity paper money result: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote; If the not heavy paper money in safety line region, then judge the not heavy paper money of banknote.
The pick-up unit of 13. 1 kinds of heavy paper money of banknote, comprising:
One data acquisition module, for gathering banknote raw image data to be detected;
One safety line detection and localization module, is connected with this data acquisition module, for carrying out safety line detection and localization to the banknote raw image data gathered, obtaining safety line and detecting data;
One safety line Regional Gravity paper money detection module, be connected with this safety line detection and localization module, detect data judging safety line region according to safety line and whether meet safety line base condition, when safety line detection data do not meet safety line base condition, judge safety line Regional Gravity paper money, otherwise judge the not heavy paper money in safety line region; And
The heavy paper money detection module of one banknote, be connected with this safety line Regional Gravity paper money detection module, in conjunction with the result that safety line region Local Gravity paper money judges, according to decision criteria, detect the whether heavy paper money of banknote, this decision criteria is: if safety line Regional Gravity paper money, then judge the heavy paper money of banknote, otherwise judges the not heavy paper money of banknote.
The pick-up unit of 14. 1 kinds of heavy paper money of banknote, comprising:
One data acquisition module, for gathering banknote raw image data to be detected;
One non-security line detection and localization module, is connected with this data acquisition module, for carrying out non-security line detection and localization to the banknote raw image data gathered, obtaining non-security line and detecting data;
One non-security line Regional Gravity paper money detection module, be connected with this non-security line detection and localization module, detect data judging non-security line region according to non-security line and whether meet non-security line base condition, when non-security line data do not meet non-security line base condition, judge non-security line Regional Gravity paper money, otherwise judge the not heavy paper money in non-security line region; And
The heavy paper money detection module of one banknote, be connected with this non-security line Regional Gravity paper money detection module, in conjunction with the result that non-security line region Local Gravity paper money judges, according to predetermined decision criteria, detect the whether heavy paper money of banknote, this decision criteria is: if non-security line Regional Gravity paper money, then judge the heavy paper money of banknote, otherwise judges the not heavy paper money of banknote.
Priority Applications (5)
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| CN201410605482.3A CN104268979B (en) | 2014-10-30 | 2014-10-30 | Method and device for detecting overlapped bank note |
| US15/518,584 US10049523B2 (en) | 2014-10-30 | 2015-08-07 | Method and device for detecting overlapped bank notes |
| PCT/CN2015/086315 WO2016065968A1 (en) | 2014-10-30 | 2015-08-07 | Method and device for detecting overlapped bank notes |
| EP15854473.4A EP3214606A4 (en) | 2014-10-30 | 2015-08-07 | Method and device for detecting overlapped bank notes |
| RU2017117414A RU2670049C1 (en) | 2014-10-30 | 2015-08-07 | Method and device for detecting overlapping banknotes |
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| CN201410605482.3A CN104268979B (en) | 2014-10-30 | 2014-10-30 | Method and device for detecting overlapped bank note |
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| CN104268979A true CN104268979A (en) | 2015-01-07 |
| CN104268979B CN104268979B (en) | 2017-01-18 |
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| EP (1) | EP3214606A4 (en) |
| CN (1) | CN104268979B (en) |
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| CN107507330B (en) * | 2017-08-17 | 2019-08-23 | 深圳怡化电脑股份有限公司 | Detection method, detection device and the terminal device of banknote thickness abnormity |
| CN109191661A (en) * | 2018-09-14 | 2019-01-11 | 广州广电运通金融电子股份有限公司 | A kind of foreign matter detecting method, device and computer readable storage medium |
| CN113160480A (en) * | 2020-01-21 | 2021-07-23 | 深圳怡化电脑股份有限公司 | Method and device for detecting thickness of bank note, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016065968A1 (en) | 2016-05-06 |
| US20170228956A1 (en) | 2017-08-10 |
| RU2670049C1 (en) | 2018-10-17 |
| US10049523B2 (en) | 2018-08-14 |
| EP3214606A4 (en) | 2017-11-15 |
| EP3214606A1 (en) | 2017-09-06 |
| CN104268979B (en) | 2017-01-18 |
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